Fallacy of grey. Certain approximations are worse than others.
So in this particular example, which approximation is worse than which other approximation and by which metric?
An IQ test in which the scores are only normalized linearly is a worse approximation to a Gaussian distribution than one which is intentionally designed to give Gaussianly distributed scores.
Well, duh, but I don’t see the point.
Fallacy of grey. Certain approximations are worse than others.
So in this particular example, which approximation is worse than which other approximation and by which metric?
An IQ test in which the scores are only normalized linearly is a worse approximation to a Gaussian distribution than one which is intentionally designed to give Gaussianly distributed scores.
Well, duh, but I don’t see the point.